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    40 x 60 Warehouse with Fenced Yard Title is generated by Realmo AI

    4367 Alexis Court, College Station, TX 77845

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    For Lease
    $2,000/Mo $10 SF/Yr (calc)

    Commercial Lease, Other - College Station, TX

    Type:Industrial
    Property size:
    2,400 SF
    Lot size:
    43,560.00 Acres
    Added:
    Jun 5, 2026
    Days on Market:
    2
    Last Refresh:
    Jun 6 at 3:06 pm

    Property Features for 4367 Alexis Court

    General Information

    Property type
    Commercial Lease
    Property subtype
    Industrial
    Standard status
    Active
    APN
    116204
    Lot size
    43,560.00 Acres

    Building Details

    Year built
    2003
    Flooring type
    Concrete
    Roof type
    Metal
    Architectural style
    Other

    We can help!

    Listing Contact
    Edward Allison
    Edward Allison

    Listing agent Edward Allison

    Listing office Engel & Völkers Bryan College Station 307 N Tabor Ave, Bryan, TX

    Listing date Jun 5, 2026

    MLS# 26005781 Listing URL

    Copyright © 2026 Engel & Völkers. All rights reserved. All information provided by the listing agent/broker is deemed reliable but is not guaranteed and should be independently verified.

    HighLights

    • 2,400 SF industrial warehouse built in 2003
    • 40 x 60 warehouse includes 3 bay doors and storage area
    • On‑site bathroom plus fenced yard area
    • Zoned industrial and located at Highway 30 East near Alexis Court (College Station)
    • All utilities are on site
    • Metal roof and concrete flooring

    Overview

    This listing offers a 2,400-square-foot warehouse arranged as a 40 x 60 building with three bay doors. The space includes a dedicated storage area and an on-site bathroom, supporting day-to-day workflow needs. Outside, there is a fenced yard area that can help with staging or equipment storage in conjunction with the warehouse.

    The property is described as conveniently located at Highway 30 East and Alexis Court in College Station. It is zoned industrial, and the listing states that all utilities are on site, which can simplify move-in and ongoing occupancy.

    The configuration is well suited for tenants looking for straightforward warehouse space with multiple loading access points and an outdoor fenced area. With industrial zoning and on-site utilities, the property aligns with a range of light industrial and storage-based uses that benefit from direct loading and contained outdoor space.
    Property Profile Location Intelligence

    Current Use by Public Records

    Warehouses

    Suggested Use

    Restaurant Real Estate Agency Spa & Massage Center Building Supply Big Box & Wholesale Store Hair Salon Auto Repair Shop Hotel & Motel Pharmacy Gym & Fitness Center

    Zoning and permitted uses should be independently verified with local authorities.

    Similar Places Nearby

    • Iron Mountain — 10900 SH 30, College Station, TX 77845
    • Morningstar Storage — 10099 SH 30, College Station, TX 77845
    • Brazos Moving and Storage — 10099 SH 30, College Station, TX 77845
    • Brazos Record Storage — 10900 SH 30, College Station, TX 77845

    Location Insight

    • Map
    • Local Demand
    City
    College Station
    County
    Brazos
    State
    Texas
    Longitude
    -96.261455
    Latitude
    30.647545

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    FAQs

    What type of property is this?
    Warehouse - Industrial-zoned warehouse offers three bay doors, interior storage, and a fenced yard for practical operations.
    Where is this warehouse located?
    The property is located at 4367 Alexis Court College Station, TX.
    What is the lease rate?
    The lease rate is $2,000 /Mo.
    What are key features of this property?
    This property features: 2,400 SF industrial warehouse built in 2003; 40 x 60 warehouse includes 3 bay doors and storage area; On‑site bathroom plus fenced yard area
    (979) 422-8009
    We can help!
    Listing Contact
    Edward Allison
    Edward Allison
    Real Estate License ID: 0594787
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    Realmo Value Estimations

    Realmo estimates a property’s market value using a proprietary methodology that incorporates public data and user-submitted information. This cumulative value is generated by integrating a variety of conventional and innovative methods. 

    Disclaimer

    These figures are not official appraisals and should not be used as a substitute for a valuation performed by a licensed appraiser.
    Actual market value may differ due to factors not captured in the data. Estimates are offered for informational purposes only, and users should conduct independent research before making financial or investment decisions.
    By using this feature, you acknowledge that Realmo is not responsible for actions taken based on these estimates.

    AI approach

    Realmo AI Method estimates property value using machine learning models trained on millions of comparable listings, transactions, and market signals. It analyzes property features, location intelligence data, and current market dynamics to predict the most probable market value in real time.

    Realmo CapRate Calculation

    Realmo calculates the Capitalization Rate (Cap Rate) to help estimate a property's potential return on investment. The Cap Rate is a fundamental metric in commercial real estate that measures the relationship between a property's net operating income and its market value.

    How We Calculate Cap Rate

    Cap Rate Formula:
    Cap Rate (%) = (Net Operating Income / Property Value) × 100

    Net Operating Income (NOI) Formula:
    NOI = Area × Lease Rate × (1 - Vacancy Rate) × (1 - Operating Expense Ratio)

    Components

    Net Operating Income (NOI) represents the annual income a property generates after operating expenses:

    • Area: Building square footage from property records
    • Lease Rate: Annual $/sqft based on market data for the property type and geographic location
    • Vacancy Rate: Percentage of unoccupied space based on market data for the property type and location
    • Operating Expense Ratio: Operating costs as a percentage of income, varies by property type

    Property Value is derived from:

    • Recent sale price (if available)
    • Statistical models using comparable sales
    • AI-powered valuation estimates

    Example Calculation

    For a 100,000 sqft Office Building:

    • Lease Rate: $25.00/sqft/year (market data for Office in this area)
    • Vacancy Rate: 8% (market data for Office in this area)
    • Operating Expense Ratio: 35% (typical for Office properties)
    • Property Value: $15,000,000

    Step 1: Calculate NOI

    NOI = 100,000 × $25.00 × (1 - 0.08) × (1 - 0.35)
    NOI = 100,000 × $25.00 × 0.92 × 0.65
    NOI = $1,495,000/year

    Step 2: Calculate Cap Rate

    Cap Rate = ($1,495,000 / $15,000,000) × 100
    Cap Rate = 9.97%

    Property Type Considerations

    Net Operating Income calculations vary by property type due to different operating expense ratios:

    • Office: Higher expenses (30-40%) for HVAC, utilities, maintenance
    • Retail: Moderate expenses (25-35%) for common area maintenance
    • Industrial/Warehouse: Lower expenses (15-25%) for minimal tenant services
    • Multifamily: Moderate expenses (35-45%) including property management
    • Self-Storage: Lower expenses (25-35%) due to minimal maintenance

    Market lease rates and vacancy rates are specific to each property type and geographic location, reflecting local market conditions.

    Disclaimer

    These calculations are estimates for informational purposes only and should not be used as a substitute for professional financial analysis or appraisal.

    • Cap Rate calculations depend on market data that may change over time
    • Actual operating expenses, lease rates, and vacancy rates may differ from market averages
    • Individual property conditions, lease terms, and tenant quality significantly impact actual NOI
    • Property value estimates are approximations and not official appraisals
    • Cap rates vary widely by market, property condition, and investment risk profile

    Professional Guidance Recommended: Before making any investment or financial decisions, consult with licensed appraisers, commercial real estate brokers, and financial advisors who can evaluate your specific property and circumstances.
    By using this feature, you acknowledge that Realmo is not responsible for investment decisions or actions taken based on these estimates.

    Cap approach

    Capitalization Method calculates value based on estimated net operating income (NOI) and applying a market-based capitalization rate (cap rate), we estimate what a typical investor might be willing to pay for it.

    Comparable approach

    Comparable estimate is based on recent sales of similar nearby properties, adjusted for factors like size, condition, and location.

    Relative

    Relative property class coefficient uses factors that account for typical price differences between various asset types (e.g., retail vs. industrial) to provide a more accurate market-aligned estimate.

    Geo

    Comparable Sales Method, enhanced by Geo coefficients — location-based adjustment factors that reflect differences in price levels across neighborhoods, cities, or regions ensuring a more accurate, market-sensitive valuation.

    Stat Estimate

    This method estimates value based on actual market adjusted recent (~5 years) sales of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all similar sales ($/sqft) are above this value
    • Range-to: 75% of all similar sales ($/sqft) are below this value
    AI Estimate

    This method estimates value based on AI market estimation of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all estimations ($/sqft) are above this value
    • Range-to: 75% of all estimations ($/sqft) are below this value
    Alternative use

    Estimate considers the property’s potential value if used for a different purpose-based on zoning, demand, and market feasibility.

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